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Measure the distribution of a proportions within a single population. Goodness of Fit: does specified population distribution seem valid Homogeneity: compare two or more population proportions
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Chapter 14Day One
Chi Square Test for Goodness of Fit
Homeworkp. 846 1,5,8
Measure the distribution of a proportions within a single population.
Goodness of Fit: does specified population distribution seem valid
Homogeneity: compare two or more population proportions
CHI SQUARE TESTS
M&Ms Advertised Color Distribtution
Brown Red Yellow Orange Blue Green
13 13 14 20 24 16
Chi-Square Table
Brown
Red Yellow Orange
Blue Green Total
ObservedExpected(O-E)2/E
Day Observed Count
Expected Count
(O-E)2/E
Sun 20Mon 133Tues 126Wed 159Thurs 136Fri 113Sat 12
Example – Chi Square Test for Goodness of Fit Are you more likely to have a motor vehicle
collision when using a cell phone? A study of 699 drivers who were suing a cell phone when they were involved in a collision examined this question. The drivers made 26,798 cell phone calls during a 14-month period. Each of 699 collisions was classified in various ways. Here are the counts for each day of the week.
Day Sun Mon Tues Wed Thurs Fri Sat TotalNumber 20 113 126 159 136 113 12 699
Ho: p Sun = pmon = pTues= ……Psat = 1/7
Ha: At least one of the proportions differs from the stated value
Calculating p-values on Chi Squared Distribution.
Example Chi Square Test for Homeogeneity of Populations Market researchers know that background music an influence
the mood and purchasing behavior of customers. One study in a supermarket in Northern Ireland compared three treatments: no music, French accordion music, and Italian string music. Under each condition, the researchers recorded the numbers of bottles of French, Italian, and other wine purchased. Here is a table that summarizes the data.
Populations: Population 1: bottles of wine sold while no music is playing Population 2: bottles of wine sold while French music is playing Population 3 : bottles of wine sold while Italian music is playing
Ho: The proportions of each wine type sold are the same in all three populations
Ha: At least one proportion different
Wine/music
None French Italian Total
French 30 39 30 99Italian 11 1 19 31Other 43 35 35 113Total 84 75 84 243
Observed Data
Expected Data
Wine/music
None French Italian Total
FrenchItalianOtherTotal